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https://hdl.handle.net/2142/19984
Description
Title
Choice of inputs into home care for the elderly
Author(s)
Brady, John Thomas
Issue Date
1991
Doctoral Committee Chair(s)
Hafstrom, Jeanne
Department of Study
Labor and Employment Relations
Discipline
Labor and Employment Relations
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Gerontology
Language
eng
Abstract
'The focus was on the use of household resources in the provision of long-term care to an aged member. The objective was to identify factors that influence the choice of inputs and provide insight into the household's choice-making process. Hypotheses were based on the Becker household production model and Grossman's adaptation to the market for health care.
Data from the 1982 National Long-Term Care (LTC) Survey of the U.S. Department of Health and Human Services were used. Results of regression analysis indicated support for several hypothesized relationships. Fewer days of non-paid as a proportion of total care were used as there was an increase in income and in the level of care required as measured by the activities of daily living (ADL) scale. Participation in an insurance program decreased the ratio of non-paid to total care days. Urbanization led to an increase in the ratio of non-paid to total days of care. When the various components of the ADL were considered as individual variables, only the need for bathing assistance was a significant predictor.
When control for human capital, measured by educational attainment, was introduced, insurance, urbanization, and previous heart attack were significant predictors of the ratio of non-paid to total days of care for those with a sixth-grade education or less. The ADL index and income were significant predictors of the mix of care for those with seven-to-twelve years of education. For those with education beyond high school, the wage rate of hired care and income were significant predictors of the mix of care.
The models for the entire sample and for the middle level of education were significant. The models for the lowest level of education and the highest level of education were not significant.
Findings indicate that home-based care for the elderly is grounded on a number of different economic and social-demographic variables that are not homogeneous across education groups. Policy makers should be aware of these differences and not anticipate success of global policies designed to assist families in the provision of care for an elderly member.
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